Job offer

Using AI to explore a Dance Archive

Date: March 1st, 2022
Domain: Human-Computer Interaction
Group: ExSitu, INRIA Saclay, Université Paris-Saclay
Location: Bâtiment 650 (Ada Lovelace)
Supervisor: Sarah Fdili Alaoui, Assistant Professor, U. Paris-Saclay
 
Type
 

Dance is an embodied practice that is challenging to capture, document and archive because dance movement encompasses complex somatic and also cultural knowledge. Up to date, dance is mainly recorded through audio visual media on either institutional databases or streaming websites such as YouTube or Vimeo. However, mere video recordings do not inform on the cultural context, the movement qualities nor the kinesthetic sensations in dance, among others.

The goal of this internship is to go beyond visual and sonic interactions for dance archiving and explore AI in this context.

Context

Supervision: Sarah Fdili Alaoui
Lab: Exsitu Team, LISN, Université Paris-Saclay, CNRS,Orsay
https://ex-situ.lri.fr
Dates: Starts March 2022- August 2022 (6 months).
Net Monthly Salary: 500 € approx

Objectives

  1. To design interactive applications that allow dance artists to navigate and explore a dance archive through their own movement.

  2. To deploy the technology in real-world situations.

Required Skills

We are looking for passionate candidates with good Design skills, and a strong background in one or several of the following domains: HCI, body-based interactions and movement and computing, humanities or dance.

More

Send a CV and a motivation letter to:
Sarah Fdili Alaoui : sarah.fdili-alaoui@lri.fr